Naslov
Different Analysis Procedures In EEG Data Signal Processing

Autori
Šverko, Zoran ; Jurdana, Vedran

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
MY FIRST CONFERENCE 2019 – BOOK OF ABSTRACTS / Čanađija, Marko ; Travaš, Vanja ; Vukelić, Goran ; Pranjić, Ivana - Rijeka, 2019, 26-26

ISBN
978-953-6953-50-9

Skup
3rd edition of annual conference for doctoral students of engineering and technology „MY FIRST CONFERENCE“

Mjesto i datum
Rijeka, Hrvatska, 12.09.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Domaća recenzija

Ključne riječi
Time domain, frequency domain, time-frequency domain

Sažetak
In the electroencephalography (EEG) data signal processing [1], commonly used methods utilize time and frequency domain analysis. Analysis in time domain gives an amplitude value of the signal in each time moment. As opposed to that, analysis in frequency domain indicates which frequencies are present in the signal. Furthermore, lack of frequency-information in the time domain analysis and lack of time-information in frequency domain analysis in nonstationary signals where frequency content varies with time leads to a usage of joint time-frequency representation (TFR)[2]. Such representation, which is localized in both time and frequency, is obtained using a distribution whose domain is the two-dimensional (t, f) space called time-frequency distribution (TFD). Apart of the most commonly used TFD - Wigner-Ville distribution (WVD), in this paper EEG signal is presented and compared with several different TFDs. Additionally, some differences between different types of analyses, such as empirical mode decomposition, wavelet etc., are explained.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

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